This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.
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This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.
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Anbieter: Salish Sea Books, Bellingham, WA, USA
Zustand: Good. Good; Hardcover; Moderate wear to the covers; Unblemished textblock edges; The endpapers and text pages are all clean and unmarked; The binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 0.4 lbs; Dark blue-gray covers with title in white lettering; 2014, Springer-Verlag Publishing; 368 pages; "Cancer Bioinformatics," by Ying Xu, et al. Bestandsnummer des Verkäufers SKU-1000AD03403314
Anbieter: Monkey House Books, Miller Place, NY, USA
Hardcover pictorial boards. Zustand: Fine. Text seeks to provide an overview of cancer biology from an informatics perspective and to demonstrate how omic data can be used to generate insights and understanding. Cancer genomes and evolution. 368 pages. Bestandsnummer des Verkäufers 7936
Anbieter: Salish Sea Books, Bellingham, WA, USA
Zustand: Very Good. Very Good; Hardcover; Few scratches to the covers; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; The binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Dark blue-gray covers with title in white lettering; 2014, Springer-Verlag Publishing; 368 pages; "Cancer Bioinformatics," by Ying Xu, et al. Bestandsnummer des Verkäufers SKU-U69VB03711048
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine. 396 pp. Englisch. Bestandsnummer des Verkäufers 9781493913800
Anzahl: 2 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. xxvi + 368. Bestandsnummer des Verkäufers 26142314574
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Zustand: new. Questo è un articolo print on demand. Bestandsnummer des Verkäufers cb3adee65392eac9c9df08640ce88f39
Anzahl: Mehr als 20 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand pp. xxvi + 368 68 Illus. Bestandsnummer des Verkäufers 135017361
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. xxvi + 368. Bestandsnummer des Verkäufers 18142314564
Anzahl: 4 verfügbar
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the understanding of cancer biology from an informatics perspectiveProvides a unified conceptual framework for studying a variety of cancer related problems by considering cancer a process of cell survival through cell proliferation. Bestandsnummer des Verkäufers 4214108
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. Neuware -This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 396 pp. Englisch. Bestandsnummer des Verkäufers 9781493913800
Anzahl: 2 verfügbar